Security and Crime in Saxony (SKiSAX) 2022 - Main Dataset

The study on security and crime in Saxony 2022 - main dataset - was conducted by Infas Institute for Applied Social Science on behalf of the Saxon Institute for Police and Security Research (SIPS). In the survey period from 27.04.2022 to 02.08.2022, the Saxon resident population aged 16 and over was asked about fear of crime and its causes in online interviews (CAWI) and in writing (self-completed questionnaire: paper). In addition to complex measurements of the perception of safety (personal/social, affective/cognitive/conative), including the fear of extremism and political crime, the survey covered the experience of being a victim, trust in various institutions, political participation behavior, the Big Five personality dimensions, the socio-demographics of the respondents and many other variables. The respondents were selected by means of a multi-stage random sample from the registers of the residents´ registration offices of selected municipalities.
In order to enable small-scale analyses, a regional dataset is provided in addition to the main dataset. It contains coarsened socio-demographics and numerous regional macro variables (demographic and economic indicators, crime recorded by the police, density of clubs, etc.). The two data sets cannot be linked with each other. Further information can be found in the documentation of the study.<br>1. Residential area: Social cohesion in the residential area in terms of mutual help, trust, shared values and respect for law and order; feeling of safety at night and during the day in the residential area; assessment of various impairments of the residential area (salience: Litter lying around, bulky waste left without permission, graffiti, unkempt front gardens or green spaces, dog excrement on sidewalks and green spaces, vandalism, broken lighting on streets or in parks, discarded syringes or needles on streets and sidewalks); frequency of perception of these impairments in the last 12 months; assessment of social problems in the residential area (groups of young people standing or sitting around, homeless people or beggars, noise on the street, drug addicts or drug dealers, fights or (groups of young people standing or sitting around, homeless or beggars, noise on the street, drug addicts or drug dealers, fights or brawls, adult cyclists, inline skaters and roller skaters on sidewalks, loose and stray dogs, public urination, illegal parking); frequency of perception of these social problems in the last 12 months.

2. Crime in Saxony and own security (based on the last 12 months): Crime development in Saxony in general; assessment of this development; development of various crimes (theft, burglary, assault, murder, fraud outside the Internet, damage to property, sexual abuse, blackmail, stalking, sexual harassment, Internet crimes in general, insults, coercion and threats in social media, terrorist attacks, drug-related crime, crimes near the border with Poland or the Czech Republic, crimes against public officials or rescue workers, crimes against politicians); fear of crime with regard to the aforementioned offenses; assessment of the risk of becoming a victim of various offenses (e.g. assault, burglary in apartment or house, robbery, theft, etc.); avoidance behavior (avoid certain streets, squares and parks, avoid people who appear threatening, take detours, avoid walking alone in the dark, carry repellents with me, secure my home, avoid expressing political opinions at public events/on social media, avoid spreading political content on social media).

3. Politically motivated crime and extremism: Assessment of the threat to the democratic order in Germany posed by right-wing extremism, left-wing extremism and Islamic extremism; concerns about right-wing extremism, left-wing extremism and Islamic extremism in Germany; in each case in relation to the last 12 months: development of politically motivated crime in Germany and Saxony in the areas of right-wing extremism, left-wing extremism and Islamic extremism; assessment of the development of politically motivated crime in Germany and in Saxony in the aforementioned areas.

4. Experience of discrimination and crime (based on the last 12 months): Victims of discrimination based on various characteristics (religion, sexual orientation, gender or gender identity, disability or impairment, skin color, origin, age, political attitudes, social status, other characteristic, other characteristic open mention); victim experience in Saxony (attacked by a person without a weapon, attacked by a person with a weapon or several persons with or without a weapon, sexually harassed, sexually abused or raped, unwanted messages with sexual content, insulted on social media, internet offense, pain or physical harm on the internet or social media/ outside the internet or social media, robbery, pickpocketing without violence, theft without violence, burglary, stalking, damage to property, fraud outside the Internet, other, other open naming, traffic offense, insult offline, official offense, verbal sexual harassment); frequency of victim experience in Saxony and number of criminal complaints; suspected motivation (religion, sexual orientation, gender or gender identity, disability or impairment, skin color, origin, age, political attitudes, social status, other characteristic, other characteristic openly mentioned, coincidence, general appearance, behavior/interests, attitude towards or behavior/interests, attitude towards or handling of corona measures); reported crime; location of reported crime; report of reported crime; reasons for not reporting (e.g. crime not serious, matter settled by self, fear of perpetrator, etc.).

5. Democracy and society: Satisfaction with democracy; importance of living in a democratically governed country; trust in public institutions in Germany (Federal Constitutional Court, Bundestag, federal government, federal police, political parties at federal level, public broadcasting) and in Saxony (Saxon judiciary, Saxon state parliament, Saxon state government, Saxon police, political parties in Saxony, public broadcasting); satisfaction with the aforementioned Saxon institutions; convinced of the good intentions of most people, nowadays you can no longer rely on anyone, in general you can trust people; political self-efficacy (I can understand political issues well, politicians make an effort to maintain close contact with the population, I trust myself to talk about political issues, politicians don´t care what ordinary people think); party preference (Sunday question), type of political participation in the last 12 months (participation in a citizens´ initiative, participation in a registered/unregistered demonstration, participation in a signature collection or petition, donation to political parties or organizations, political contributions written in a letter to a newspaper, participation in public discussions, support for a party in an election campaign, participation in the 2021 federal election); left-right self-assessment; in the context of the fight against crime, too many vs. not too many liberties restricted; perceived prevalence of corruption among politicians in German federal politics and in Saxon state politics.

6. Life circumstances: Description of own personality (Big Five: openness, conscientiousness, extraversion, agreeableness and neuroticism); media consumption: frequency of use of various media for information about current events (e.g. public radio incl. web radio, private radio, public television incl. media library, etc.); likelihood of infection with corona (COVID-19) or another infectious disease in the next 12 months. public radio including web radio, private radio, public television including media library, etc.); probability of infection with coronavirus (COVID-19) or another infectious disease in the next 12 months; concern about infection with coronavirus or another infectious disease.

Demography: Sex; year of birth; age; age groups; nationality; country of birth; migration background (up to 1st generation, up to 2nd generation); country of birth of parents; household size; number of children in household; partnership status/shared household with partner; highest general school-leaving qualification; employment; net household income (grouped).

Additionally coded: Serial number main dataset; weighting factor; at least one victim experience (self-completion only); valid zip code of place of residence given; size of location (BIK); survey method.